Telegram crypto trading bot development
Your users already live in Telegram. A trading bot puts the wallet and the swap in the same window as the alpha call, so nobody leaves the chat to trade. We build production Telegram trading bots on Solana, Ethereum, BNB Chain, Base, and TON. The execution layer, the fee router, the custody model, and the front end get designed together, not bolted on in sequence.
What is a Telegram crypto trading bot?
A Telegram crypto trading bot is a program that runs inside Telegram and executes on-chain trades from chat commands. A user pastes a token address, the bot builds and signs the transaction against a decentralised exchange, and the fill comes back as a message.
Work that normally spans a wallet extension, a DEX front end, a charting tab, and a block explorer collapses into one conversation.
The category proved itself in 2023 when Unibot and Maestro turned chat commands into real volume. Banana Gun, BONKbot, Trojan, and Sigma followed. Telegram passed one billion monthly active users in March 2025, and the bots that captured that traffic now route hundreds of millions in monthly swap volume between them.
The interface is not what made them work. Speed did. A bot with a warm RPC connection and a private mempool route lands a buy several blocks ahead of a human clicking through a browser wallet.
Anatomy of a Telegram trading bot
Four layers sit between a tapped button and a settled trade. Each one is a separate engineering problem.
What the user touches. Chat commands and inline buttons for power users, a Mini App for everyone else.
Accounts, positions, the order keeper that fires limit orders, the fee router, and referral accounting.
Where the private key lives and who is allowed to sign. Also spend limits, slippage caps, and withdrawal controls.
How the transaction reaches the network. Node quality, DEX routing, and whether submission is public or private.
What we build
Four core builds, each shipped against the same execution backend.
Sniper bots
The bot watches for liquidity pool creation on Raydium, Pump.fun, Uniswap, or Aerodrome, then fires a buy in the same block or the one after. Honeypot simulation, sell-tax checks, and mint authority verification run before broadcast.
Copy trading bots
Users subscribe to a wallet and mirror its trades with their own position sizing. This needs a real-time wallet indexer, not a polling loop, with per-follower slippage caps so one bad leader trade does not drain every follower.
Limit order bots
Off-chain order books with on-chain settlement, covering limit orders, stop-losses, take-profits, and DCA schedules. The hard part is the keeper design: orders fire reliably without a single point of failure, and without leaking user intent.
Telegram Mini App front ends
Bot commands cover power users. A Mini App covers everyone else. We ship both against the same backend, so a first-time user gets a chart and a buy button instead of a command reference.
Two other builds sit alongside these. Arbitrage bots capture cross-DEX and cross-chain spreads, usually as private desk infrastructure. Portfolio trackers cover positions, PnL, and price alerts, and they carry no execution risk, which makes them a sensible first release.
How a trade actually executes
Six steps between a tapped button and a confirmed fill. Three of them are where whitelabel bots cut corners.
Command received
The bot resolves the token address and pulls current pool state.
Simulation gate
The swap is simulated against live reserves. Price impact, transfer taxes, honeypot logic, and revoked authorities are all checked before anything is signed. Skip this and you sell users into honeypots.
Transaction built
Slippage tolerance, compute budget or gas ceiling, and a priority fee sized to current network conditions. Static fees are why cheap bots miss blocks.
Signing
Where the key lives at this moment is the single most consequential design decision on the whole project.
Private broadcast
Jito on Solana, a protected relay on Ethereum. The transaction never sits in a public mempool where a sandwich bot can see it.
Confirmation
Logs parsed, fill price calculated, platform fee split off, result posted back to the chat.
A bot that skips simulation sells users into honeypots. A bot that broadcasts publicly gets its users sandwiched on every meaningful buy. Both failures are invisible in a demo and expensive in production.
Performance standards we build to
Fill quality is measurable, so we contract on it. These are the thresholds a custom build is engineered to hit, written into the statement of work and monitored after launch. A bot running on shared public RPC endpoints, which is what most whitelabel deployments in this category actually run on, will not reach them.
Three of these are structural rather than aspirational. Sandwiching is prevented by the submission route, not by tuning. Slippage beyond tolerance cancels the transaction. Snipe timing is bounded by the listener architecture.
Case study: Real-time Telegram trading bot
A custom Telegram trading bot for a private crypto trading platform, combining real-time market data, automated order execution, wallet management, and pre-trade risk controls inside Telegram.
What we built
A whitelabel bot routed through the Jupiter aggregator across Raydium, Orca, and Meteora. Users create or connect a wallet, search tokens, review live market data, and trade through commands or inline buttons. A monitoring service tracks prices, liquidity changes, wallet activity, and order conditions, then submits eligible trades automatically when configured limits are met.
Trading covers instant swaps, limit orders, take-profit and stop-loss exits, and copy trading, with pre-trade checks for low liquidity, transfer taxes, mint and freeze authority, honeypot behaviour, and concentrated ownership.
Result
Token discovery, execution, automated orders, and portfolio monitoring in one interface. The operations team gained direct visibility into user activity, transaction status, and fee income through the dashboard, which previously meant pulling data from the chain by hand. Live on Solana, with the same backend now serving Base.
The decision that defines your product
Custody
There is no neutral option here. Pick deliberately. We build all four.
Custodial hot wallet
Platform holds encrypted keys and signs server-side.
MPC / threshold signing
Key split across shards. No single point of compromise.
Non-custodial, session keys
User holds the key and grants scoped signing permission.
TON Connect / external wallet
User signs every transaction in their own wallet.
Most high-volume Telegram bots run custodial hot wallets because milliseconds matter, and most of the well-known incidents in this category trace back to that same decision.
Security
What ships with every build
Bot exploits in this category follow a short list of repeating patterns, so the defences below are specific to those patterns.
Key isolation
Key material never touches logs or environment variables in plaintext. Keys sit in an HSM or KMS-backed enclave, and signing is a permissioned service, never a library call inside the bot process.
Simulation gate
Every outbound transaction is simulated first. If the simulated result differs from the quote beyond tolerance, the transaction is dropped rather than sent.
Rate limiting
Command handlers are limited per Telegram user ID and per wallet, which kills the drain-by-loop attack where a compromised session fires hundreds of swaps before anyone notices.
Withdrawal controls
A separate confirmation path, an address allowlist, and a cooling period on first use of a new destination.
Third-party audit
Contract code, where the product includes a fee router or a vault, goes through audit before mainnet. We work with CertiK and comparable firms.
Session hijacking
The underrated risk. Telegram accounts get SIM-swapped, and a custodial bot with no second factor turns that into a total loss. Transaction PINs and optional 2FA ship on every custodial build.
Business model
Revenue models we implement
The swap fee carries the business. Everything else is retention.
Swap Fee
~1% Β· Category normA percentage skimmed from every buy and sell, routed on-chain at settlement.
Referral Tiers
20β35% of feeMulti-level revenue share on fees from referred users, decaying by tier.
Premium Subscription
Monthly Β· Native token or USDTFaster RPC lanes, higher limits, and private alpha channels.
Token Utility
Holder-gated Β· BuybackFee discounts or revenue share for holders and stakers.
Priority Execution
Per-trade or bundledDedicated node access or a higher Jito tip for users who want the front of the queue.
We build the fee router as a first-class component, with on-chain accounting so referral payouts are verifiable by the people receiving them.
Where we deploy
Solana
Raydium, Orca, Meteora, Pump.fun, Jupiter aggregator, with Jito bundle submission.
Ethereum
Uniswap v2, v3, and v4, plus private relay submission for snipe protection.
BNB Chain
PancakeSwap and Four.meme.
Base
Aerodrome and Uniswap.
TON
STON.fi and DeDust, with TON Connect onboarding and Telegram Stars for in-app payments.
Pricing
What a build costs
Telegram trading bot engagements with us start at $25,000. Below that number the execution quality is not something we would put our name on, so we will point you to a whitelabel deployment or turn the project down.
Launch
Get live and start earning fees
- β Live in 3 to 5 weeks
- β One chain at launch
- β Licensed source code
- β Shared nodes and public submission
- β Custodial hot wallet
- β Swap, snipe, and limit orders
- β Standard fee router and dashboard
- β Custom multi-tier referral router
- β 30 days of support
Custom Build
Own the execution layer
- β Live in 10 to 16 weeks
- β Up to 3 chains
- β Full source transfer
- β Dedicated RPC, Jito, or protected relay
- β Any of the four custody models
- β Adds copy trading, DCA, and TP/SL
- β Mini App front end included
- β Custom multi-tier referral router
- β One contract audited and 90 days of support
Dedicated Infrastructure
Desk-grade execution
- β Live in 16 to 24 weeks
- β Unrestricted chains
- β Full source transfer
- β Co-located nodes and private relays
- β MPC or HSM-backed signing
- β Adds arbitrage and market making
- β Mini App front end included
- β On-chain fee accounting and API access
- β Full audit scope and 12-month SLA
Send the brief and we will scope it properly. We would rather lose the deal on price than win it and under-deliver on fills.
What you get from us
- β’ A working bot on mainnet, not a prototype. Backend, execution layer, fee routing, admin panel, and analytics.
- β’ Full source ownership on custom engagements, in your repositories, with your infrastructure credentials.
- β’ Load-tested execution. We benchmark fill rate and slippage against the bots your users already use, and we show you the numbers.
- β’ Audit coordination with a third-party firm for any contract you deploy.
- β’ Post-launch support covering RPC monitoring, chain upgrades, DEX contract migrations, and Telegram Bot API changes, all of which will break something eventually.
Why teams bring this to Blockchain App Factory
We have shipped blockchain products since 2014 and have delivered more than 800 projects across trading infrastructure, exchanges, token launches, and DeFi protocols. Our team runs 250 people, roughly 90 of them blockchain engineers. We hold ISO/IEC 27001 certification and SOC 2 Type II attestation, which matters when your product holds user funds.
More specific to this category: we already build crypto trading bots, arbitrage bots, market-making systems, and MEV infrastructure. A Telegram bot is a distribution channel wrapped around execution infrastructure we have built repeatedly. Teams that treat it as a chat interface project ship something that loses money on every fill.
